March 27 to 29 2017, Santa Clara, USA.

Speaker "Gyana Dash" Details

Name :
gyana dash
Company :
Title :
Manager
Topic :

Network Early Warning System (NEWS) that predicts network behavior

Abstract :

Network Early Warning System (NEWS) that learns network behavior, detects anomalies, predicts abnormal or catastrophic events and alerts before it happens. Application of Machine learning, Neural Networks, NLP and Deep Learning techniques to network events, flows and packets is becoming pervasive in all network analytics and decision support systems. This session will provide practical use cases and architectural guidelines on Network Predictive Analytics. A case study of Cisco’s solution will demonstrate the power of Machine Learning to perform deep analysis of network data.

Profile :
Gyana Dash is a passionate, visionary, and thought leader, with 21 years of experience in building complex software systems/applications to deliver business outcomes in the area of data driven network analytics and rule based expert systems. At Cisco, Gyana is leading several Cognitive Systems of Insights solutions for 'Use Cases' across Data Center, Cloud, IoT and Network Optimization that generates more than 4 billion dollar of annual revenue. Gyana has been a regular presenter and speaker at Cisco, TiE, IoT Evolution Expo and several conferences in past. Gyana has filed seven patents during the tenure of Cisco. Gyana has a Master of Engineering degree in Computer Science, from NIIT, Allahabad, India, with specialization in VOIP Software. Gyana also holds an MBA degree from the University of Phoenix, with specialization in Technology Management. He has a Bachelor of Technology in Electronics and Telecommunication IETE, India. Apart from regular job Gyana has been involved in robotics and STEM activities as mentor/coach/judge since 5 years and has participated international level robotics competitions.
x

Get latest updates of Global Predictive Analytics Conference
sent to your inbox.

Weekly insight from industry insiders.
Plus exclusive content and offers.